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Lorna A. Greening

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Greening, Lorna A., 2010. "Demand response resources: Who is responsible for implementation in a deregulated market?," Energy, Elsevier, vol. 35(4), pages 1518-1525.

    Cited by:

    1. Partovi, Farzad & Nikzad, Mehdi & Mozafari, Babak & Ranjbar, Ali Mohamad, 2011. "A stochastic security approach to energy and spinning reserve scheduling considering demand response program," Energy, Elsevier, vol. 36(5), pages 3130-3137.
    2. Clastres, Cédric & Khalfallah, Haikel, 2015. "An analytical approach to activating demand elasticity with a demand response mechanism," Energy Economics, Elsevier, vol. 52(PA), pages 195-206.
    3. Mark Olsthoorn & Joachim Schleich & Marian Klobasa D, 2015. "Barriers to electricity load shift in companies: A survey-based exploration of the end-user perspective," Grenoble Ecole de Management (Post-Print) hal-01104611, HAL.
    4. Hajati, Maryam & Seifi, Hossein & Sheikh-El-Eslami, Mohamad Kazem, 2011. "Optimal retailer bidding in a DA market – a new method considering risk and demand elasticity," Energy, Elsevier, vol. 36(2), pages 1332-1339.
    5. Hong, Seung Ho & Kim, Se Hwan & Kim, Gi Myung & Kim, Hyung Lae, 2014. "Experimental evaluation of BZ-GW (BACnet-ZigBee smart grid gateway) for demand response in buildings," Energy, Elsevier, vol. 65(C), pages 62-70.
    6. Yousefi, Shaghayegh & Moghaddam, Mohsen Parsa & Majd, Vahid Johari, 2011. "Optimal real time pricing in an agent-based retail market using a comprehensive demand response model," Energy, Elsevier, vol. 36(9), pages 5716-5727.
    7. Kim, Jin-Ho & Shcherbakova, Anastasia, 2011. "Common failures of demand response," Energy, Elsevier, vol. 36(2), pages 873-880.
    8. Mohsen Davoodi & Hamed Jafari Kaleybar & Morris Brenna & Dario Zaninelli, 2023. "Energy Management Systems for Smart Electric Railway Networks: A Methodological Review," Sustainability, MDPI, vol. 15(16), pages 1-35, August.
    9. Liang, Yile & Liu, Feng & Wang, Cheng & Mei, Shengwei, 2017. "Distributed demand-side energy management scheme in residential smart grids: An ordinal state-based potential game approach," Applied Energy, Elsevier, vol. 206(C), pages 991-1008.
    10. Zhang, Yunchao & Islam, Md Monirul & Sun, Zeyi & Yang, Sijia & Dagli, Cihan & Xiong, Haoyi, 2018. "Optimal sizing and planning of onsite generation system for manufacturing in Critical Peaking Pricing demand response program," International Journal of Production Economics, Elsevier, vol. 206(C), pages 261-267.
    11. Sousa, Joana & Soares, Isabel, 2023. "Benefits and barriers concerning demand response stakeholder value chain: A systematic literature review," Energy, Elsevier, vol. 280(C).
    12. Gomes, A. & Antunes, C. Henggeler & Martinho, J., 2013. "A physically-based model for simulating inverter type air conditioners/heat pumps," Energy, Elsevier, vol. 50(C), pages 110-119.
    13. Olga Bogdanova & Karīna Viskuba & Laila Zemīte, 2023. "A Review of Barriers and Enables in Demand Response Performance Chain," Energies, MDPI, vol. 16(18), pages 1-33, September.
    14. Zareen, N. & Mustafa, M.W. & Sultana, U. & Nadia, R. & Khattak, M.A., 2015. "Optimal real time cost-benefit based demand response with intermittent resources," Energy, Elsevier, vol. 90(P2), pages 1695-1706.
    15. Park, S.C. & Jin, Y.G. & Song, H.Y. & Yoon, Y.T., 2015. "Designing a critical peak pricing scheme for the profit maximization objective considering price responsiveness of customers," Energy, Elsevier, vol. 83(C), pages 521-531.
    16. Alcázar-Ortega, Manuel & Calpe, Carmen & Theisen, Thomas & Carbonell-Carretero, José Francisco, 2015. "Methodology for the identification, evaluation and prioritization of market handicaps which prevent the implementation of Demand Response: Application to European electricity markets," Energy Policy, Elsevier, vol. 86(C), pages 529-543.
    17. Koliou, Elta & Eid, Cherrelle & Chaves-Ávila, José Pablo & Hakvoort, Rudi A., 2014. "Demand response in liberalized electricity markets: Analysis of aggregated load participation in the German balancing mechanism," Energy, Elsevier, vol. 71(C), pages 245-254.
    18. Tae Hyun Yoo & Hyeongon Park & Jae-Kun Lyu & Jong-Keun Park, 2014. "Determining the Interruptible Load with Strategic Behavior in a Competitive Electricity Market," Energies, MDPI, vol. 8(1), pages 1-21, December.
    19. Katz, Jonas, 2014. "Linking meters and markets: Roles and incentives to support a flexible demand side," Utilities Policy, Elsevier, vol. 31(C), pages 74-84.
    20. Jiang, Bo & Farid, Amro M. & Youcef-Toumi, Kamal, 2015. "Demand side management in a day-ahead wholesale market: A comparison of industrial & social welfare approaches," Applied Energy, Elsevier, vol. 156(C), pages 642-654.
    21. Nge, Chee Lim & Ranaweera, Iromi U. & Midtgård, Ole-Morten & Norum, Lars, 2019. "A real-time energy management system for smart grid integrated photovoltaic generation with battery storage," Renewable Energy, Elsevier, vol. 130(C), pages 774-785.
    22. Jang, Dongsik & Eom, Jiyong & Jae Park, Min & Jeung Rho, Jae, 2016. "Variability of electricity load patterns and its effect on demand response: A critical peak pricing experiment on Korean commercial and industrial customers," Energy Policy, Elsevier, vol. 88(C), pages 11-26.
    23. Rodríguez-García, Javier & Álvarez-Bel, Carlos & Carbonell-Carretero, José-Francisco & Alcázar-Ortega, Manuel & Peñalvo-López, Elisa, 2016. "A novel tool for the evaluation and assessment of demand response activities in the industrial sector," Energy, Elsevier, vol. 113(C), pages 1136-1146.
    24. Lakshmanan, Venkatachalam & Marinelli, Mattia & Hu, Junjie & Bindner, Henrik W., 2016. "Provision of secondary frequency control via demand response activation on thermostatically controlled loads: Solutions and experiences from Denmark," Applied Energy, Elsevier, vol. 173(C), pages 470-480.
    25. Ghadikolaei, Hadi Moghimi & Tajik, Elham & Aghaei, Jamshid & Charwand, Mansour, 2012. "Integrated day-ahead and hour-ahead operation model of discos in retail electricity markets considering DGs and CO2 emission penalty cost," Applied Energy, Elsevier, vol. 95(C), pages 174-185.
    26. Fotouhi Ghazvini, Mohammad Ali & Faria, Pedro & Ramos, Sergio & Morais, Hugo & Vale, Zita, 2015. "Incentive-based demand response programs designed by asset-light retail electricity providers for the day-ahead market," Energy, Elsevier, vol. 82(C), pages 786-799.
    27. Di Castelnuovo, Matteo & Fumagalli, Elena, 2013. "An assessment of the Italian smart gas metering program," Energy Policy, Elsevier, vol. 60(C), pages 714-721.
    28. Olmos, Luis & Ruester, Sophia & Liong, Siok-Jen & Glachant, Jean-Michel, 2011. "Energy efficiency actions related to the rollout of smart meters for small consumers, application to the Austrian system," Energy, Elsevier, vol. 36(7), pages 4396-4409.
    29. Chicco, Gianfranco, 2012. "Overview and performance assessment of the clustering methods for electrical load pattern grouping," Energy, Elsevier, vol. 42(1), pages 68-80.
    30. Hong, Seung Ho & Yu, Mengmeng & Huang, Xuefei, 2015. "A real-time demand response algorithm for heterogeneous devices in buildings and homes," Energy, Elsevier, vol. 80(C), pages 123-132.
    31. Leinauer, Christina & Schott, Paul & Fridgen, Gilbert & Keller, Robert & Ollig, Philipp & Weibelzahl, Martin, 2022. "Obstacles to demand response: Why industrial companies do not adapt their power consumption to volatile power generation," Energy Policy, Elsevier, vol. 165(C).
    32. Ussama Assad & Muhammad Arshad Shehzad Hassan & Umar Farooq & Asif Kabir & Muhammad Zeeshan Khan & S. Sabahat H. Bukhari & Zain ul Abidin Jaffri & Judit Oláh & József Popp, 2022. "Smart Grid, Demand Response and Optimization: A Critical Review of Computational Methods," Energies, MDPI, vol. 15(6), pages 1-36, March.
    33. Devenish, Anna, 2023. "Institutional and contextual drivers of and barriers to incentive-based demand response: A comparative case study in the Pacific Northwest," Utilities Policy, Elsevier, vol. 84(C).
    34. Fatras, Nicolas & Ma, Zheng & Jørgensen, Bo Nørregaard, 2022. "Process-to-market matrix mapping: A multi-criteria evaluation framework for industrial processes’ electricity market participation feasibility," Applied Energy, Elsevier, vol. 313(C).
    35. Jin, Ming & Feng, Wei & Liu, Ping & Marnay, Chris & Spanos, Costas, 2017. "MOD-DR: Microgrid optimal dispatch with demand response," Applied Energy, Elsevier, vol. 187(C), pages 758-776.
    36. Behrangrad, Mahdi & Sugihara, Hideharu & Funaki, Tsuyoshi, 2012. "Integrating the cold load pickup effect of reserve supplying demand response resource in social cost minimization based system scheduling," Energy, Elsevier, vol. 45(1), pages 1034-1041.
    37. Eid, Cherrelle & Koliou, Elta & Valles, Mercedes & Reneses, Javier & Hakvoort, Rudi, 2016. "Time-based pricing and electricity demand response: Existing barriers and next steps," Utilities Policy, Elsevier, vol. 40(C), pages 15-25.
    38. Aghaei, Jamshid & Alizadeh, Mohammad-Iman, 2013. "Multi-objective self-scheduling of CHP (combined heat and power)-based microgrids considering demand response programs and ESSs (energy storage systems)," Energy, Elsevier, vol. 55(C), pages 1044-1054.
    39. Dababneh, Fadwa & Li, Lin & Sun, Zeyi, 2016. "Peak power demand reduction for combined manufacturing and HVAC system considering heat transfer characteristics," International Journal of Production Economics, Elsevier, vol. 177(C), pages 44-52.

  2. Greening, Lorna A. & Boyd, Gale & Roop, Joseph M., 2007. "Modeling of industrial energy consumption: An introduction and context," Energy Economics, Elsevier, vol. 29(4), pages 599-608, July.

    Cited by:

    1. Yuo-Hsien Shiau & Su-Fen Yang & Rishan Adha & Syamsiyatul Muzayyanah, 2022. "Modeling Industrial Energy Demand in Relation to Subsector Manufacturing Output and Climate Change: Artificial Neural Network Insights," Sustainability, MDPI, vol. 14(5), pages 1-18, March.
    2. Fakhri J. Hasanov & Jeyhun I. Mikayilov, 2020. "Revisiting Energy Demand Relationship: Theory and Empirical Application," Sustainability, MDPI, vol. 12(7), pages 1-15, April.
    3. Hasanuzzaman, M. & Rahim, N.A. & Hosenuzzaman, M. & Saidur, R. & Mahbubul, I.M. & Rashid, M.M., 2012. "Energy savings in the combustion based process heating in industrial sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4527-4536.
    4. Lucio, Nilson Rogerio & Lamas, Wendell de Queiroz & de Camargo, Jose Rubens, 2013. "Strategic energy management in the primary aluminium industry: Self-generation as a competitive factor," Energy Policy, Elsevier, vol. 59(C), pages 182-188.
    5. Alarenan, Shahad & Gasim, Anwar A. & Hunt, Lester C., 2020. "Modelling industrial energy demand in Saudi Arabia," Energy Economics, Elsevier, vol. 85(C).
    6. Agnolucci, Paolo, 2009. "The energy demand in the British and German industrial sectors: Heterogeneity and common factors," Energy Economics, Elsevier, vol. 31(1), pages 175-187, January.
    7. Blomberg, Jerry & Henriksson, Eva & Lundmark, Robert, 2012. "Energy efficiency and policy in Swedish pulp and paper mills: A data envelopment analysis approach," Energy Policy, Elsevier, vol. 42(C), pages 569-579.
    8. Sharimakin, Akinsehinwa, 2021. "Modelling asymmetric price responses of industrial energy demand with a dynamic hierarchical model," Energy Economics, Elsevier, vol. 98(C).
    9. Bardazzi, Rossella & Oropallo, Filippo & Pazienza, Maria Grazia, 2015. "Do manufacturing firms react to energy prices? Evidence from Italy," Energy Economics, Elsevier, vol. 49(C), pages 168-181.
    10. Barros, Carlos P. & Gil-Alana, Luis A. & Wanke, Peter, 2016. "Energy production in Brazil: Empirical facts based on persistence, seasonality and breaks," Energy Economics, Elsevier, vol. 54(C), pages 88-95.
    11. Kialashaki, Arash & Reisel, John R., 2014. "Development and validation of artificial neural network models of the energy demand in the industrial sector of the United States," Energy, Elsevier, vol. 76(C), pages 749-760.
    12. Lin, Boqiang & Wang, Ailun, 2015. "Estimating energy conservation potential in China's commercial sector," Energy, Elsevier, vol. 82(C), pages 147-156.
    13. Pardo Martínez, Clara Inés, 2013. "An analysis of eco-efficiency in energy use and CO2 emissions in the Swedish service industries," Socio-Economic Planning Sciences, Elsevier, vol. 47(2), pages 120-130.
    14. Fleiter, Tobias & Worrell, Ernst & Eichhammer, Wolfgang, 2011. "Barriers to energy efficiency in industrial bottom-up energy demand models--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 3099-3111, August.
    15. Agnolucci, Paolo & De Lipsis, Vincenzo & Arvanitopoulos, Theodoros, 2017. "Modelling UK sub-sector industrial energy demand," Energy Economics, Elsevier, vol. 67(C), pages 366-374.
    16. McMillan, Colin A. & Ruth, Mark, 2019. "Using facility-level emissions data to estimate the technical potential of alternative thermal sources to meet industrial heat demand," Applied Energy, Elsevier, vol. 239(C), pages 1077-1090.
    17. Mazzanti, Massimiliano & Montini, Anna, 2010. "Embedding the drivers of emission efficiency at regional level -- Analyses of NAMEA data," Ecological Economics, Elsevier, vol. 69(12), pages 2457-2467, October.
    18. Rootzén, Johan & Johnsson, Filip, 2015. "CO2 emissions abatement in the Nordic carbon-intensive industry – An end-game in sight?," Energy, Elsevier, vol. 80(C), pages 715-730.
    19. Gander, James P., 2012. "A simple dynamic energy capacity model," Energy Economics, Elsevier, vol. 34(1), pages 78-81.
    20. Yanli Ji & Jie Xue & Zitian Fu, 2022. "Sustainable Development of Economic Growth, Energy-Intensive Industries and Energy Consumption: Empirical Evidence from China’s Provinces," Sustainability, MDPI, vol. 14(12), pages 1-20, June.
    21. Sharimakin, Akinsehinwa & Glass, Anthony J. & Saal, David S. & Glass, Karligash, 2018. "Dynamic multilevel modelling of industrial energy demand in Europe," Energy Economics, Elsevier, vol. 74(C), pages 120-130.
    22. Roula Inglesi-Lotz, 2012. "The sensitivity of the South African industrial sector’s electricity consumption to electricity price fluctuations," Working Papers 201225, University of Pretoria, Department of Economics.
    23. Lin, Boqiang & Ouyang, Xiaoling, 2014. "Electricity demand and conservation potential in the Chinese nonmetallic mineral products industry," Energy Policy, Elsevier, vol. 68(C), pages 243-253.
    24. Shafiee, Shahriar & Topal, Erkan, 2008. "An econometrics view of worldwide fossil fuel consumption and the role of US," Energy Policy, Elsevier, vol. 36(2), pages 775-786, February.
    25. Cahill, Caiman J. & Ó Gallachóir, Brian P., 2010. "Monitoring energy efficiency trends in European industry: Which top-down method should be used?," Energy Policy, Elsevier, vol. 38(11), pages 6910-6918, November.
    26. Svensson, Elin & Berntsson, Thore, 2011. "Planning future investments in emerging energy technologies for pulp mills considering different scenarios for their investment cost development," Energy, Elsevier, vol. 36(11), pages 6508-6519.

  3. Greening, Lorna A., 2004. "Effects of human behavior on aggregate carbon intensity of personal transportation: comparison of 10 OECD countries for the period 1970-1993," Energy Economics, Elsevier, vol. 26(1), pages 1-30, January.

    Cited by:

    1. Richard S.J. Tol, 2006. "The Impact Of A Carbon Tax On International Tourism," Working Papers FNU-120, Research unit Sustainability and Global Change, Hamburg University, revised Nov 2006.
    2. Hongwei Xiao & Zhongyu Ma & Peng Zhang & Ming Liu, 2019. "Study of the impact of energy consumption structure on carbon emission intensity in China from the perspective of spatial effects," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1365-1380, December.
    3. Fan, Ying & Liu, Lan-Cui & Wu, Gang & Tsai, Hsien-Tang & Wei, Yi-Ming, 2007. "Changes in carbon intensity in China: Empirical findings from 1980-2003," Ecological Economics, Elsevier, vol. 62(3-4), pages 683-691, May.
    4. Socolow, Robert & Pacala, Stephen W. & Tol, Richard S.J., 2006. "Understanding Long-Term Energy Use and Carbon Dioxide Emissions in the USA," Climate Change Modelling and Policy Working Papers 12043, Fondazione Eni Enrico Mattei (FEEM).
    5. Fan, Jing-Li & Zhang, Yue-Jun & Wang, Bing, 2017. "The impact of urbanization on residential energy consumption in China: An aggregated and disaggregated analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 220-233.
    6. Rajan, Sudhir Chella, 2006. "Climate change dilemma: technology, social change or both?: An examination of long-term transport policy choices in the United States," Energy Policy, Elsevier, vol. 34(6), pages 664-679, April.
    7. Taewook Huh & Yun Young Kim, 2021. "Triangular Trajectory of Sustainable Development: Panel Analysis of the OECD Countries," IJERPH, MDPI, vol. 18(5), pages 1-16, March.
    8. Huiling Wang & Jiaxin Luo & Mengtian Zhang & Yue Ling, 2022. "The Impact of Transportation Restructuring on the Intensity of Greenhouse Gas Emissions: Empirical Data from China," IJERPH, MDPI, vol. 19(19), pages 1-16, October.
    9. Bel, Germà & Rosell, Jordi, 2017. "The impact of socioeconomic characteristics on CO2 emissions associated with urban mobility: Inequality across individuals," Energy Economics, Elsevier, vol. 64(C), pages 251-261.
    10. Wu, Qingyang & Chang, Siqi & Bai, Caiquan & Wei, Wendong, 2023. "How do zombie enterprises hinder climate change action plans in China?," Energy Economics, Elsevier, vol. 124(C).
    11. Markandya, Anil & Pedroso-Galinato, Suzette & Streimikiene, Dalia, 2006. "Energy intensity in transition economies: Is there convergence towards the EU average?," Energy Economics, Elsevier, vol. 28(1), pages 121-145, January.
    12. Schymura, Michael & Voigt, Sebastian, 2014. "What drives changes in carbon emissions? An index decomposition approach for 40 countries," ZEW Discussion Papers 14-038, ZEW - Leibniz Centre for European Economic Research.
    13. Keirstead, James, 2006. "Evaluating the applicability of integrated domestic energy consumption frameworks in the UK," Energy Policy, Elsevier, vol. 34(17), pages 3065-3077, November.
    14. Lin, Boqiang & Wang, Xiaolei, 2015. "Carbon emissions from energy intensive industry in China: Evidence from the iron & steel industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 746-754.
    15. Zuopeng Xiao & James H. Lenzer & Yanwei Chai, 2017. "Examining The Uneven Distribution Of Household Travel Carbon Emissions Within And Across Neighborhoods: The Case Of Beijing," Journal of Regional Science, Wiley Blackwell, vol. 57(3), pages 487-506, June.
    16. Oh, Ilyoung & Wehrmeyer, Walter & Mulugetta, Yacob, 2010. "Decomposition analysis and mitigation strategies of CO2 emissions from energy consumption in South Korea," Energy Policy, Elsevier, vol. 38(1), pages 364-377, January.
    17. Xu, X.Y. & Ang, B.W., 2013. "Index decomposition analysis applied to CO2 emission studies," Ecological Economics, Elsevier, vol. 93(C), pages 313-329.
    18. Brand, Christian & Boardman, Brenda, 2008. "Taming of the few--The unequal distribution of greenhouse gas emissions from personal travel in the UK," Energy Policy, Elsevier, vol. 36(1), pages 224-238, January.
    19. Lin, Boqiang & Tan, Ruipeng, 2017. "Sustainable development of China's energy intensive industries: From the aspect of carbon dioxide emissions reduction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 386-394.
    20. Lee, Kihoon & Oh, Wankeun, 2006. "Analysis of CO2 emissions in APEC countries: A time-series and a cross-sectional decomposition using the log mean Divisia method," Energy Policy, Elsevier, vol. 34(17), pages 2779-2787, November.
    21. Zhanglan Wu & Jie Tang & Dong Wang, 2016. "Low Carbon Urban Transitioning in Shenzhen: A Multi-Level Environmental Governance Perspective," Sustainability, MDPI, vol. 8(8), pages 1-15, July.
    22. Lin, Boqiang & Long, Houyin, 2016. "Emissions reduction in China׳s chemical industry – Based on LMDI," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1348-1355.
    23. Haichao Feng & Ruonan Wang & He Zhang, 2022. "Research on Carbon Emission Characteristics of Rural Buildings Based on LMDI-LEAP Model," Energies, MDPI, vol. 15(24), pages 1-16, December.
    24. Érika Martins Silva Ramos & Cecilia Jakobsson Bergstad, 2021. "The Psychology of Sharing: Multigroup Analysis among Users and Non-Users of Carsharing," Sustainability, MDPI, vol. 13(12), pages 1-17, June.
    25. Yong Wang & Guangchun Yang & Ying Dong & Yu Cheng & Peipei Shang, 2018. "The Scale, Structure and Influencing Factors of Total Carbon Emissions from Households in 30 Provinces of China—Based on the Extended STIRPAT Model," Energies, MDPI, vol. 11(5), pages 1-25, May.
    26. Xia Tong & Yutong Gu & Tingting Jin & Shenrong Gao, 2022. "Embodied Carbon Emissions in Export of Yangtze River Delta: Calculation and Decomposition of Driving Factors," Sustainability, MDPI, vol. 14(19), pages 1-11, September.
    27. Liang Chen & Zhifeng Yang & Bin Chen, 2013. "Decomposition Analysis of Energy-Related Industrial CO 2 Emissions in China," Energies, MDPI, vol. 6(5), pages 1-19, April.
    28. Jennings, Mark & Ó Gallachóir, Brian P. & Schipper, Lee, 2013. "Irish passenger transport: Data refinements, international comparisons, and decomposition analysis," Energy Policy, Elsevier, vol. 56(C), pages 151-164.
    29. Fengjian Ge & Jiangfeng Li & Yi Zhang & Shipeng Ye & Peng Han, 2022. "Impacts of Energy Structure on Carbon Emissions in China, 1997–2019," IJERPH, MDPI, vol. 19(10), pages 1-25, May.
    30. Brand, Christian & Preston, John M., 2010. "'60-20 emission'--The unequal distribution of greenhouse gas emissions from personal, non-business travel in the UK," Transport Policy, Elsevier, vol. 17(1), pages 9-19, January.
    31. Zhang, Jinyun & Zhang, Yan & Yang, Zhifeng & Fath, Brian D. & Li, Shengsheng, 2013. "Estimation of energy-related carbon emissions in Beijing and factor decomposition analysis," Ecological Modelling, Elsevier, vol. 252(C), pages 258-265.
    32. Fan, Jing-Li & Liao, Hua & Liang, Qiao-Mei & Tatano, Hirokazu & Liu, Chun-Feng & Wei, Yi-Ming, 2013. "Residential carbon emission evolutions in urban–rural divided China: An end-use and behavior analysis," Applied Energy, Elsevier, vol. 101(C), pages 323-332.
    33. Lin, Boqiang & Long, Houyin, 2014. "How to promote energy conservation in China’s chemical industry," Energy Policy, Elsevier, vol. 73(C), pages 93-102.
    34. Duro, Juan Antonio & Padilla, Emilio, 2006. "International inequalities in per capita CO2 emissions: A decomposition methodology by Kaya factors," Energy Economics, Elsevier, vol. 28(2), pages 170-187, March.
    35. Chao Zhou & Dongyu Liu & Pengfei Zhou & Jie Luo & Serhat Yuksel & Hasan Dincer, 2020. "Hybrid Predictive Decision-Making Approach to Emission Reduction Policies for Sustainable Energy Industry," Energies, MDPI, vol. 13(9), pages 1-21, May.
    36. Liu Chen & Xin Li & Sheng Xue & Lingfei Qu & Minxi Wang, 2019. "Carbon intensity and emission reduction potential in China: spatial measuring method," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-12, December.
    37. Chang, Chun-Ping & Dong, Minyi & Sui, Bo & Chu, Yin, 2019. "Driving forces of global carbon emissions: From time- and spatial-dynamic perspectives," Economic Modelling, Elsevier, vol. 77(C), pages 70-80.
    38. Panda Su & Yu Wang, 2022. "Does It Help Carbon Reduction in China? A Research Paper about the Mediating Role of Production Automation Based on the Carbon Kuznets Curve," Sustainability, MDPI, vol. 14(23), pages 1-18, November.

  4. Greening, Lorna A. & Bernow, Steve, 2004. "Design of coordinated energy and environmental policies: use of multi-criteria decision-making," Energy Policy, Elsevier, vol. 32(6), pages 721-735, April.

    Cited by:

    1. Indre Siksnelyte & Edmundas Kazimieras Zavadskas, 2019. "Achievements of the European Union Countries in Seeking a Sustainable Electricity Sector," Energies, MDPI, vol. 12(12), pages 1-16, June.
    2. Doukas, Haris Ch. & Andreas, Botsikas M. & Psarras, John E., 2007. "Multi-criteria decision aid for the formulation of sustainable technological energy priorities using linguistic variables," European Journal of Operational Research, Elsevier, vol. 182(2), pages 844-855, October.
    3. Doukas, Haris & Patlitzianas, Konstantinos D. & Psarras, John, 2006. "Supporting sustainable electricity technologies in Greece using MCDM," Resources Policy, Elsevier, vol. 31(2), pages 129-136, June.
    4. Bruno Domenech & Laia Ferrer‐Martí & Rafael Pastor, 2019. "Comparison of various approaches to design wind‐PV rural electrification projects in remote areas of developing countries," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(3), May.
    5. Karatas, Mumtaz & Sulukan, Egemen & Karacan, Ilknur, 2018. "Assessment of Turkey's energy management performance via a hybrid multi-criteria decision-making methodology," Energy, Elsevier, vol. 153(C), pages 890-912.
    6. Shen, Yung-Chi & Chou, Chiyang James & Lin, Grace T.R., 2011. "The portfolio of renewable energy sources for achieving the three E policy goals," Energy, Elsevier, vol. 36(5), pages 2589-2598.
    7. Baudry, Gino & Macharis, Cathy & Vallée, Thomas, 2018. "Range-based Multi-Actor Multi-Criteria Analysis: A combined method of Multi-Actor Multi-Criteria Analysis and Monte Carlo simulation to support participatory decision making under uncertainty," European Journal of Operational Research, Elsevier, vol. 264(1), pages 257-269.
    8. Mundaca, Luis & Neij, Lena, 2009. "A multi-criteria evaluation framework for tradable white certificate schemes," Energy Policy, Elsevier, vol. 37(11), pages 4557-4573, November.
    9. Jurgita Baranauskiene & Vilija Alekneviciene, 2019. "Comprehensive Measurement of Social Benefits Generated by Public Investment Projects," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 15(4), pages 195-210.
    10. Magdalena Ligus, 2017. "Evaluation of Economic, Social and Environmental Effects of Low-Emission Energy Technologies Development in Poland: A Multi-Criteria Analysis with Application of a Fuzzy Analytic Hierarchy Process (FA," Energies, MDPI, vol. 10(10), pages 1-20, October.
    11. Bieber, Niclas & Ker, Jen Ho & Wang, Xiaonan & Triantafyllidis, Charalampos & van Dam, Koen H. & Koppelaar, Rembrandt H.E.M. & Shah, Nilay, 2018. "Sustainable planning of the energy-water-food nexus using decision making tools," Energy Policy, Elsevier, vol. 113(C), pages 584-607.
    12. Gebrezgabher, Solomie A. & Meuwissen, Miranda P.M. & Oude Lansink, Alfons G.J.M., 2014. "A multiple criteria decision making approach to manure management systems in the Netherlands," European Journal of Operational Research, Elsevier, vol. 232(3), pages 643-653.
    13. Murrant, Daniel & Radcliffe, Jonathan, 2018. "Assessing energy storage technology options using a multi-criteria decision analysis-based framework," Applied Energy, Elsevier, vol. 231(C), pages 788-802.
    14. Vladimir Zybatov, 2018. "Strategic Planning of Energy-Efficient Development of a Region of the Russian Federation," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 941-954.
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  5. Greening, Lorna A. & Ting, Michael & Krackler, Thomas J., 2001. "Effects of changes in residential end-uses and behavior on aggregate carbon intensity: comparison of 10 OECD countries for the period 1970 through 1993," Energy Economics, Elsevier, vol. 23(2), pages 153-178, March.

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    1. Hongguang Nie & René Kemp & Véronique Vasseur, 2020. "Exploring the Changing Gap of Residential Energy Consumption per Capita in China and the Netherlands: A Comparative Analysis of Driving Forces," Sustainability, MDPI, vol. 12(11), pages 1-17, June.
    2. Hongwei Xiao & Zhongyu Ma & Peng Zhang & Ming Liu, 2019. "Study of the impact of energy consumption structure on carbon emission intensity in China from the perspective of spatial effects," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1365-1380, December.
    3. Fan, Ying & Liu, Lan-Cui & Wu, Gang & Tsai, Hsien-Tang & Wei, Yi-Ming, 2007. "Changes in carbon intensity in China: Empirical findings from 1980-2003," Ecological Economics, Elsevier, vol. 62(3-4), pages 683-691, May.
    4. Wang, Bing & Wang, Qian & Wei, Yi-Ming & Li, Zhi-Ping, 2018. "Role of renewable energy in China’s energy security and climate change mitigation: An index decomposition analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 187-194.
    5. Socolow, Robert & Pacala, Stephen W. & Tol, Richard S.J., 2006. "Understanding Long-Term Energy Use and Carbon Dioxide Emissions in the USA," Climate Change Modelling and Policy Working Papers 12043, Fondazione Eni Enrico Mattei (FEEM).
    6. Xiang, Xiwang & Ma, Minda & Ma, Xin & Chen, Liming & Cai, Weiguang & Feng, Wei & Ma, Zhili, 2022. "Historical decarbonization of global commercial building operations in the 21st century," Applied Energy, Elsevier, vol. 322(C).
    7. Curtis, John & McCoy, Daire & Aravena, Claudia, 2018. "Heating system upgrades: The role of knowledge, socio-demographics, building attributes and energy infrastructure," Energy Policy, Elsevier, vol. 120(C), pages 183-196.
    8. Greening, Lorna A., 2004. "Effects of human behavior on aggregate carbon intensity of personal transportation: comparison of 10 OECD countries for the period 1970-1993," Energy Economics, Elsevier, vol. 26(1), pages 1-30, January.
    9. Keirstead, James, 2006. "Evaluating the applicability of integrated domestic energy consumption frameworks in the UK," Energy Policy, Elsevier, vol. 34(17), pages 3065-3077, November.
    10. Lin, Boqiang & Wang, Xiaolei, 2015. "Carbon emissions from energy intensive industry in China: Evidence from the iron & steel industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 746-754.
    11. Xu, X.Y. & Ang, B.W., 2013. "Index decomposition analysis applied to CO2 emission studies," Ecological Economics, Elsevier, vol. 93(C), pages 313-329.
    12. Lin, Boqiang & Tan, Ruipeng, 2017. "Sustainable development of China's energy intensive industries: From the aspect of carbon dioxide emissions reduction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 386-394.
    13. Lee, Kihoon & Oh, Wankeun, 2006. "Analysis of CO2 emissions in APEC countries: A time-series and a cross-sectional decomposition using the log mean Divisia method," Energy Policy, Elsevier, vol. 34(17), pages 2779-2787, November.
    14. Zhanglan Wu & Jie Tang & Dong Wang, 2016. "Low Carbon Urban Transitioning in Shenzhen: A Multi-Level Environmental Governance Perspective," Sustainability, MDPI, vol. 8(8), pages 1-15, July.
    15. Lin, Boqiang & Long, Houyin, 2016. "Emissions reduction in China׳s chemical industry – Based on LMDI," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1348-1355.
    16. Haichao Feng & Ruonan Wang & He Zhang, 2022. "Research on Carbon Emission Characteristics of Rural Buildings Based on LMDI-LEAP Model," Energies, MDPI, vol. 15(24), pages 1-16, December.
    17. Curtis, John & McCoy, Daire & Aravena Novielli, Claudia, 2017. "Determinants of residential heating system choice: an analysis of Irish households," Papers WP576, Economic and Social Research Institute (ESRI).
    18. Xu, X.Y. & Ang, B.W., 2014. "Analysing residential energy consumption using index decomposition analysis," Applied Energy, Elsevier, vol. 113(C), pages 342-351.
    19. Liang Chen & Zhifeng Yang & Bin Chen, 2013. "Decomposition Analysis of Energy-Related Industrial CO 2 Emissions in China," Energies, MDPI, vol. 6(5), pages 1-19, April.
    20. Fengjian Ge & Jiangfeng Li & Yi Zhang & Shipeng Ye & Peng Han, 2022. "Impacts of Energy Structure on Carbon Emissions in China, 1997–2019," IJERPH, MDPI, vol. 19(10), pages 1-25, May.
    21. Jincai Zhao & Qianqian Liu, 2021. "Examining the Driving Factors of Urban Residential Carbon Intensity Using the LMDI Method: Evidence from China’s County-Level Cities," IJERPH, MDPI, vol. 18(8), pages 1-18, April.
    22. Fan, Jing-Li & Liao, Hua & Liang, Qiao-Mei & Tatano, Hirokazu & Liu, Chun-Feng & Wei, Yi-Ming, 2013. "Residential carbon emission evolutions in urban–rural divided China: An end-use and behavior analysis," Applied Energy, Elsevier, vol. 101(C), pages 323-332.
    23. Lin, Boqiang & Long, Houyin, 2014. "How to promote energy conservation in China’s chemical industry," Energy Policy, Elsevier, vol. 73(C), pages 93-102.
    24. Yan Wu & Chunlai Chen & Cong Hu, 2021. "Does the Belt and Road Initiative Increase the Carbon Emission Intensity of Participating Countries?," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 29(3), pages 1-25, May.
    25. Braun, Frauke G., 2010. "Determinants of households' space heating type: A discrete choice analysis for German households," Energy Policy, Elsevier, vol. 38(10), pages 5493-5503, October.
    26. Liu Chen & Xin Li & Sheng Xue & Lingfei Qu & Minxi Wang, 2019. "Carbon intensity and emission reduction potential in China: spatial measuring method," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-12, December.
    27. Tianqi Rong & Pengyan Zhang & Wenlong Jing & Yu Zhang & Yanyan Li & Dan Yang & Jiaxin Yang & Hao Chang & Linna Ge, 2020. "Carbon Dioxide Emissions and Their Driving Forces of Land Use Change Based on Economic Contributive Coefficient (ECC) and Ecological Support Coefficient (ESC) in the Lower Yellow River Region (1995–20," Energies, MDPI, vol. 13(10), pages 1-18, May.
    28. Murray, Cameron K, 2011. "Income dependent direct and indirect rebound effects from ’green’ consumption choices in Australia," MPRA Paper 34973, University Library of Munich, Germany.
    29. Ren Yishuai & Jiang Yong & Ma Chaoqun & Liu Jianglong & Chen Jing, 2021. "Will Tax Burden Be a Stumbling Block to Carbon-Emission Reduction? Evidence from OECD Countries," Journal of Systems Science and Information, De Gruyter, vol. 9(4), pages 335-355, August.

  6. A. Greening, Lorna & Greene, David L. & Difiglio, Carmen, 2000. "Energy efficiency and consumption -- the rebound effect -- a survey," Energy Policy, Elsevier, vol. 28(6-7), pages 389-401, June.

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    1. Karasoy, Alper, 2022. "Is innovative technology a solution to Japan's long-run energy insecurity? Dynamic evidence from the linear and nonlinear methods," Technology in Society, Elsevier, vol. 70(C).
    2. Shigemi Kagawa & Yuriko Goto & Sangwon Suh & Keisuke Nansai & Yuki Kudoh, 2012. "Accounting for Changes in Automobile Gasoline Consumption in Japan: 2000–2007," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 1(1), pages 1-27, December.
    3. Paul Dolan & Robert Metcalfe, 2013. "Neighbors, Knowledge, and Nuggets: Two Natural Field Experiments on the Role of Incentives on Energy Conservation," CEP Discussion Papers dp1222, Centre for Economic Performance, LSE.
    4. Nilsson, Mats, 2007. "Red light for Green Paper: The EU policy on energy efficiency," Energy Policy, Elsevier, vol. 35(1), pages 540-547, January.
    5. Emmanuel Hache & Déborah Leboullenger & Valérie Mignon, 2016. "Beyond average energy consumption in the French residential housing market: A household classification approach," Working Papers hal-02475511, HAL.
    6. Fei, Rilong & Wang, Haolin & Wen, Zihao & Yuan, Zhen & Yuan, Kaihua & Chunga, Joseph, 2021. "Tracking factor substitution and the rebound effect of China’s agricultural energy consumption: A new research perspective from asymmetric response," Energy, Elsevier, vol. 216(C).
    7. Wang, Jianlong & Wang, Weilong & Liu, Yong & Wu, Haitao, 2023. "Can industrial robots reduce carbon emissions? Based on the perspective of energy rebound effect and labor factor flow in China," Technology in Society, Elsevier, vol. 72(C).
    8. Nicholas Rivers & Leslie Shiell, 2014. "Free-Riding on Energy Efficiency Subsidies: the Case of Natural Gas Furnaces in Canada," Working Papers E1404E, University of Ottawa, Department of Economics.
    9. Meyer, I. & Wessely, S., 2009. "Fuel efficiency of the Austrian passenger vehicle fleet--Analysis of trends in the technological profile and related impacts on CO2 emissions," Energy Policy, Elsevier, vol. 37(10), pages 3779-3789, October.
    10. Joachim Schleich & Bradford Mills & Elisabeth Dütschke, 2014. "A Brighter Future? Quantifying the Rebound Effect in Energy Efficient Lighting," Post-Print hal-00991732, HAL.
    11. Briglauer, Wolfgang & Köppl-Turyna, Monika & Schwarzbauer, Wolfgang, 2022. "Evaluating the effects of ICT core elements on CO2 emissions: Recent evidence from OECD countries," Research Papers 22, EcoAustria – Institute for Economic Research.
    12. Grösche, Peter, 2006. "Marktkonforme Möglichkeiten zur Forcierung privatwirtschaftlicher Investitionen in den Wohngebäudebestand zum Zwecke einer effizienteren Energieverwendung: Endbericht, April 2006," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 70901.
    13. Faucheux, S. & Nicolaï, I., 2011. "IT for green and green IT: A proposed typology of eco-innovation," Ecological Economics, Elsevier, vol. 70(11), pages 2020-2027, September.
    14. Intaek Yoon & YeonSang Lee & Sohyun Kate Yoon, 2017. "An empirical analysis of energy efficiency measures applicable to cities, regions, and local governments, based on the case of South Korea’s local energy saving program," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(6), pages 863-878, August.
    15. Andrea Lucchesi & Matthew A. Cole & Robert J. R. Elliot & Naercio A. Menezes-Filho, 2016. "Determinants Of Environmental Innovation In Brazilian Manufacturing Industries," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 143, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    16. Galvin, Ray & Dütschke, Elisabeth & Weiß, Julika, 2021. "A conceptual framework for understanding rebound effects with renewable electricity: A new challenge for decarbonizing the electricity sector," Renewable Energy, Elsevier, vol. 176(C), pages 423-432.
    17. Kaika, Dimitra & Zervas, Efthimios, 2013. "The environmental Kuznets curve (EKC) theory. Part B: Critical issues," Energy Policy, Elsevier, vol. 62(C), pages 1403-1411.
    18. Figge, Frank & Thorpe, Andrea Stevenson, 2023. "Circular economy, operational eco-efficiency, and sufficiency. An integrated view," Ecological Economics, Elsevier, vol. 204(PB).
    19. Yıldırım, Durmuş Çağrı & Esen, Ömer & Yıldırım, Seda, 2022. "The nonlinear effects of environmental innovation on energy sector-based carbon dioxide emissions in OECD countries," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    20. Kindström, Daniel & Ottosson, Mikael, 2016. "Local and regional energy companies offering energy services: Key activities and implications for the business model," Applied Energy, Elsevier, vol. 171(C), pages 491-500.
    21. Cordroch, Luisa & Hilpert, Simon & Wiese, Frauke, 2022. "Why renewables and energy efficiency are not enough - the relevance of sufficiency in the heating sector for limiting global warming to 1.5 °C," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
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    1. Turrentine, Thomas S. & Kurani, Kenneth S., 2007. "Car buyers and fuel economy?," Energy Policy, Elsevier, vol. 35(2), pages 1213-1223, February.
    2. Xavier Labandeira & Jose M. Labeaga & Miguel Rodriguez, 2004. "Microsimulating the Effects of Household Energy Price Changes in Spain," Public Economics 0412001, University Library of Munich, Germany, revised 02 Dec 2004.
    3. Parry, Ian W.H. & Small, Kenneth A., 2004. "Does Britain or the United States Have the Right Gasoline Tax?," Discussion Papers 10461, Resources for the Future.
    4. Asensio, Javier & Matas, Anna & Raymond, Jose-Luis, 2003. "Petrol expenditure and redistributive effects of its taxation in Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(1), pages 49-69, January.
    5. Jonathan E. Hughes & Christopher R. Knittel & Daniel Sperling, 2006. "Evidence of a Shift in the Short-Run Price Elasticity of Gasoline Demand," NBER Working Papers 12530, National Bureau of Economic Research, Inc.
    6. Michael Gelman & Yuriy Gorodnichenko & Shachar Kariv & Dmitri Koustas & Matthew D. Shapiro & Dan Silverman & Steven Tadelis, 2023. "The Response of Consumer Spending to Changes in Gasoline Prices," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(2), pages 129-160, April.
    7. Turrentine, Tom & Kurani, Kenneth S, 2007. "Car buyers and fuel economy?," Institute of Transportation Studies, Working Paper Series qt56x845v4, Institute of Transportation Studies, UC Davis.
    8. Alexandros Dimitropoulos & Walid Oueslati & Christina Sintek, 2016. "The Rebound Effect in Road Transport: A Meta-analysis of Empirical Studies," OECD Environment Working Papers 113, OECD Publishing.
    9. Park, Sung Y. & Zhao, Guochang, 2010. "An estimation of U.S. gasoline demand: A smooth time-varying cointegration approach," Energy Economics, Elsevier, vol. 32(1), pages 110-120, January.
    10. Musti, Sashank & Kockelman, Kara M., 2011. "Evolution of the household vehicle fleet: Anticipating fleet composition, PHEV adoption and GHG emissions in Austin, Texas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(8), pages 707-720, October.
    11. Santos, Gervásio F., 2013. "Fuel demand in Brazil in a dynamic panel data approach," Energy Economics, Elsevier, vol. 36(C), pages 229-240.
    12. Xavier Labandeira & José M. Labeaga & Miguel Rodríguez, 2005. "A Residential Energy Demand System for Spain," Econometrics 0503005, University Library of Munich, Germany.
    13. Antonio M. Bento & Jonathan E. Hughes & Daniel T. Kaffine, 2012. "Carpooling and Driver Responses to Fuel Price Changes: Evidence from Traffic Flows in Los Angeles," Working Papers 2012-06, Colorado School of Mines, Division of Economics and Business.
    14. H. Spencer Banzhaf & Taha Kasim, 2016. "Fuel Consumption and Gasoline Prices: The Role of Assortative Matching between Households and Automobiles," NBER Working Papers 22983, National Bureau of Economic Research, Inc.
    15. Sene, Seydina Ousmane, 2012. "Estimating the demand for gasoline in developing countries: Senegal," Energy Economics, Elsevier, vol. 34(1), pages 189-194.
    16. Muehlegger, Erich, 2006. "Gasoline Price Spikes and Regional Gasoline Content Regulation: A Structural Approach," Working Paper Series rwp06-015, Harvard University, John F. Kennedy School of Government.
    17. Dora Gicheva & Justine Hastings & Sofia Villas-Boas, 2007. "Revisiting the Income Effect: Gasoline Prices and Grocery Purchases," NBER Working Papers 13614, National Bureau of Economic Research, Inc.
    18. Sebastiano Manzan & Dawit Zerom, 2010. "A Semiparametric Analysis of Gasoline Demand in the United States Reexamining The Impact of Price," Econometric Reviews, Taylor & Francis Journals, vol. 29(4), pages 439-468.
    19. Javier Asensio & Anna Matas & José Luis Raymond, 2001. "Petrol consumption and redistributive effects of its taxation in Spain," Working Papers wp0109, Department of Applied Economics at Universitat Autonoma of Barcelona.
    20. Kamyabi, Najmeh & Chidmi, Benaissa, 2022. "Gasoline demand in the United States: An asymmetric economic analysis," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
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    22. Tingting Wang & Cynthia Chen, 2014. "Impact of fuel price on vehicle miles traveled (VMT): do the poor respond in the same way as the rich?," Transportation, Springer, vol. 41(1), pages 91-105, January.
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    24. Stanislav Radchenko, 2004. "Limited Information Bayesian Analysis of a Simultaneous Equation with an Autocorrelated Error Term and its Application to the U.S. Gasoline Market," Econometrics 0408001, University Library of Munich, Germany.
    25. Spiller, Elisheba & Stephens, Heather M. & Timmins, Christopher & Smith, Allison, 2012. "Does the Substitutability of Public Transit Affect Commuters’ Response to Gasoline Price Changes?," RFF Working Paper Series dp-12-29, Resources for the Future.
    26. Jian Wang & Muqing Du & Lili Lu & Xiaozheng He, 2018. "Maximizing Network Throughput under Stochastic User Equilibrium with Elastic Demand," Networks and Spatial Economics, Springer, vol. 18(1), pages 115-143, March.
    27. Dillon, Harya S. & Saphores, Jean-Daniel & Boarnet, Marlon G., 2015. "The impact of urban form and gasoline prices on vehicle usage: Evidence from the 2009 National Household Travel Survey," Research in Transportation Economics, Elsevier, vol. 52(C), pages 23-33.
    28. Peterson, Meghan B. & Barter, Garrett E. & West, Todd H. & Manley, Dawn K., 2014. "A parametric study of light-duty natural gas vehicle competitiveness in the United States through 2050," Applied Energy, Elsevier, vol. 125(C), pages 206-217.
    29. Britt Groosman & Nicholas Muller & Erin O’Neill-Toy, 2011. "The Ancillary Benefits from Climate Policy in the United States," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(4), pages 585-603, December.
    30. Bento, Antonio M. & Cropper, Maureen L. & Mobarak, Ahmed Mushfiq & Vinha, Katja, 2003. "The impact of urban spatial structure on travel demand in the United States," Policy Research Working Paper Series 3007, The World Bank.
    31. Yang, Lisha & Li, Jianglong, 2017. "Rebound effect in China: Evidence from the power generation sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 53-62.
    32. Christopher Taylor & Jeffrey Fischer, 2003. "A Review of West Coast Gasoline Pricing and the Impact of Regulations," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 10(2), pages 225-243.
    33. Kurani, Ken & Turrentine, Thomas, 2004. "Automobile Buyer Decisions about Fuel Economy and Fuel Efficiency," Institute of Transportation Studies, Working Paper Series qt5hh5k3j3, Institute of Transportation Studies, UC Davis.
    34. Hössinger, Reinhard & Link, Christoph & Sonntag, Axel & Stark, Juliane, 2017. "Estimating the price elasticity of fuel demand with stated preferences derived from a situational approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 154-171.
    35. Rosa M. González-Marrero & Rosa M. Lorenzo-Alegría & Gustavo A. Marrero, 2011. "Gasoline and Diesel Consumption for Road Transport in Spain: a Dynamic Panel Data Approach," Economic Reports 04-2011, FEDEA.
    36. Desiderio Romero-Jordán & José Félix Sanz-Sanz, 2009. "Energy Taxes and Household Compliance with the Kyoto Protocol," Public Finance Review, , vol. 37(2), pages 142-169, March.
    37. Shaw, Charles, 2020. "Econometric Analysis of Demand for Petrol in India, 1966-2019," MPRA Paper 104797, University Library of Munich, Germany.
    38. Sorrell, Steve & Dimitropoulos, John & Sommerville, Matt, 2009. "Empirical estimates of the direct rebound effect: A review," Energy Policy, Elsevier, vol. 37(4), pages 1356-1371, April.
    39. dos Santos, Gervásio & Faria, Weslem, 2012. "Spatial Panel Data Models and Fuel Demand in Brazil," TD NEREUS 10-2012, Núcleo de Economia Regional e Urbana da Universidade de São Paulo (NEREUS).
    40. Nicol, C. J., 2003. "Elasticities of demand for gasoline in Canada and the United States," Energy Economics, Elsevier, vol. 25(2), pages 201-214, March.
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    42. Wang, Jiayu & Yu, Shuao & Liu, Tiansen, 2021. "A theoretical analysis of the direct rebound effect caused by energy efficiency improvement of private consumers," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 171-181.
    43. Nazneen Ferdous & Abdul Pinjari & Chandra Bhat & Ram Pendyala, 2010. "A comprehensive analysis of household transportation expenditures relative to other goods and services: an application to United States consumer expenditure data," Transportation, Springer, vol. 37(3), pages 363-390, May.
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    45. Dean Hyslop & Trinh Le & David Maré & Lynn Riggs & Nic Watson, 2023. "Domestic transport charges: Estimation of transport-related elasticities," Working Papers 23_10, Motu Economic and Public Policy Research.
    46. Rosa M. Gonz lez-Marrero & Rosa M. Lorenzo-Alegr a & Gustavo A. Marrero, 2012. "A Dynamic Model for Road Gasoline and Diesel Consumption: An Application for Spanish Regions," International Journal of Energy Economics and Policy, Econjournals, vol. 2(4), pages 201-209.

  8. Greening, Lorna A. & Ting, Mike & Davis, William B., 1999. "Decomposition of aggregate carbon intensity for freight: trends from 10 OECD countries for the period 1971-1993," Energy Economics, Elsevier, vol. 21(4), pages 331-361, August.

    Cited by:

    1. Hongwei Xiao & Zhongyu Ma & Peng Zhang & Ming Liu, 2019. "Study of the impact of energy consumption structure on carbon emission intensity in China from the perspective of spatial effects," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1365-1380, December.
    2. Fan, Ying & Liu, Lan-Cui & Wu, Gang & Tsai, Hsien-Tang & Wei, Yi-Ming, 2007. "Changes in carbon intensity in China: Empirical findings from 1980-2003," Ecological Economics, Elsevier, vol. 62(3-4), pages 683-691, May.
    3. Papagiannaki, Katerina & Diakoulaki, Danae, 2009. "Decomposition analysis of CO2 emissions from passenger cars: The cases of Greece and Denmark," Energy Policy, Elsevier, vol. 37(8), pages 3259-3267, August.
    4. Socolow, Robert & Pacala, Stephen W. & Tol, Richard S.J., 2006. "Understanding Long-Term Energy Use and Carbon Dioxide Emissions in the USA," Climate Change Modelling and Policy Working Papers 12043, Fondazione Eni Enrico Mattei (FEEM).
    5. Zhang, Ming & Li, Huanan & Zhou, Min & Mu, Hailin, 2011. "Decomposition analysis of energy consumption in Chinese transportation sector," Applied Energy, Elsevier, vol. 88(6), pages 2279-2285, June.
    6. Minyoung Yang & Jinsoo Kim, 2022. "A Critical Review of the Definition and Estimation of Carbon Efficiency," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
    7. Yu, Haowei & Zhou, You, 2021. "Highway Spending and Induced Vehicle Emissions: Evidence from the US states," Resource and Energy Economics, Elsevier, vol. 65(C).
    8. Luukkanen, Jyrki & Kaivo-oja, Jari, 2002. "ASEAN tigers and sustainability of energy use--decomposition analysis of energy and CO2 efficiency dynamics," Energy Policy, Elsevier, vol. 30(4), pages 281-292, March.
    9. Greening, Lorna A., 2004. "Effects of human behavior on aggregate carbon intensity of personal transportation: comparison of 10 OECD countries for the period 1970-1993," Energy Economics, Elsevier, vol. 26(1), pages 1-30, January.
    10. Andreoni, V. & Galmarini, S., 2012. "European CO2 emission trends: A decomposition analysis for water and aviation transport sectors," Energy, Elsevier, vol. 45(1), pages 595-602.
    11. Manel Daldoul & Ahlem Dakhlaoui, 2018. "Using the LMDI Decomposition Approach to Analyze the Influencing Factors of Carbon Emissions in Tunisian Transportation Sector," International Journal of Energy Economics and Policy, Econjournals, vol. 8(6), pages 22-28.
    12. Lin, Boqiang & Wang, Xiaolei, 2015. "Carbon emissions from energy intensive industry in China: Evidence from the iron & steel industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 746-754.
    13. Lin, Boqiang & Moubarak, Mohamed, 2014. "Mitigation potential of carbon dioxide emissions in the Chinese textile industry," Applied Energy, Elsevier, vol. 113(C), pages 781-787.
    14. Li, Hongqi & Lu, Yue & Zhang, Jun & Wang, Tianyi, 2013. "Trends in road freight transportation carbon dioxide emissions and policies in China," Energy Policy, Elsevier, vol. 57(C), pages 99-106.
    15. Qi Zou & Jinhui Zhao & Yingying Sun & Chao He & Zhouxiang Zhang, 2022. "Interprovincial Differences in Air Pollution in the Background of China’s Carbon Neutrality Target," Sustainability, MDPI, vol. 14(10), pages 1-14, May.
    16. Wang, W.W. & Zhang, M. & Zhou, M., 2011. "Using LMDI method to analyze transport sector CO2 emissions in China," Energy, Elsevier, vol. 36(10), pages 5909-5915.
    17. Wang, Q.W. & Zhou, P. & Shen, N. & Wang, S.S., 2013. "Measuring carbon dioxide emission performance in Chinese provinces: A parametric approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 324-330.
    18. Tan, Xiujie & Choi, Yongrok & Wang, Banban & Huang, Xiaoqi, 2020. "Does China's carbon regulatory policy improve total factor carbon efficiency? A fixed-effect panel stochastic frontier analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    19. Xu, X.Y. & Ang, B.W., 2013. "Index decomposition analysis applied to CO2 emission studies," Ecological Economics, Elsevier, vol. 93(C), pages 313-329.
    20. Lin, Sue J. & Lu, I.J. & Lewis, Charles, 2006. "Identifying key factors and strategies for reducing industrial CO2 emissions from a non-Kyoto protocol member's (Taiwan) perspective," Energy Policy, Elsevier, vol. 34(13), pages 1499-1507, September.
    21. Lee, Kihoon & Oh, Wankeun, 2006. "Analysis of CO2 emissions in APEC countries: A time-series and a cross-sectional decomposition using the log mean Divisia method," Energy Policy, Elsevier, vol. 34(17), pages 2779-2787, November.
    22. Zhanglan Wu & Jie Tang & Dong Wang, 2016. "Low Carbon Urban Transitioning in Shenzhen: A Multi-Level Environmental Governance Perspective," Sustainability, MDPI, vol. 8(8), pages 1-15, July.
    23. Xue-ting Jiang & Min Su & Rongrong Li, 2018. "Investigating the Factors Influencing the Decoupling of Transport-Related Carbon Emissions from Turnover Volume in China," Sustainability, MDPI, vol. 10(9), pages 1-17, August.
    24. Lin, Boqiang & Long, Houyin, 2016. "Emissions reduction in China׳s chemical industry – Based on LMDI," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1348-1355.
    25. Huang, Fei & Zhou, Dequn & Wang, Qunwei & Hang, Ye, 2019. "Decomposition and attribution analysis of the transport sector’s carbon dioxide intensity change in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 343-358.
    26. Changzheng Zhu & Wenbo Du, 2019. "A Research on Driving Factors of Carbon Emissions of Road Transportation Industry in Six Asia-Pacific Countries Based on the LMDI Decomposition Method," Energies, MDPI, vol. 12(21), pages 1-19, October.
    27. Liang Chen & Zhifeng Yang & Bin Chen, 2013. "Decomposition Analysis of Energy-Related Industrial CO 2 Emissions in China," Energies, MDPI, vol. 6(5), pages 1-19, April.
    28. Sorrell, Steve & Lehtonen, Markku & Stapleton, Lee & Pujol, Javier & Champion, Toby, 2009. "Decomposing road freight energy use in the United Kingdom," Energy Policy, Elsevier, vol. 37(8), pages 3115-3129, August.
    29. Jiefang Dong & Chun Deng & Rongrong Li & Jieyu Huang, 2016. "Moving Low-Carbon Transportation in Xinjiang: Evidence from STIRPAT and Rigid Regression Models," Sustainability, MDPI, vol. 9(1), pages 1-15, December.
    30. Ming Meng & Manyu Li, 2020. "Decomposition Analysis and Trend Prediction of CO 2 Emissions in China’s Transportation Industry," Sustainability, MDPI, vol. 12(7), pages 1-20, March.
    31. Lin, Boqiang & Long, Houyin, 2014. "How to promote energy conservation in China’s chemical industry," Energy Policy, Elsevier, vol. 73(C), pages 93-102.
    32. Yalan Zhao & Yaoqiu Kuang & Ningsheng Huang, 2016. "Decomposition Analysis in Decoupling Transport Output from Carbon Emissions in Guangdong Province, China," Energies, MDPI, vol. 9(4), pages 1-23, April.
    33. Yanan Chen & Sheng Lin, 2015. "Decomposition and allocation of energy-related carbon dioxide emission allowance over provinces of China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(3), pages 1893-1909, April.
    34. Achour, Houda & Belloumi, Mounir, 2016. "Decomposing the influencing factors of energy consumption in Tunisian transportation sector using the LMDI method," Transport Policy, Elsevier, vol. 52(C), pages 64-71.
    35. Gaolu Zou & K. W. Chau, 2019. "Long- and Short-Run Effects of Fuel Prices on Freight Transportation Volumes in Shanghai," Sustainability, MDPI, vol. 11(18), pages 1-12, September.
    36. Chang, Chun-Ping & Dong, Minyi & Sui, Bo & Chu, Yin, 2019. "Driving forces of global carbon emissions: From time- and spatial-dynamic perspectives," Economic Modelling, Elsevier, vol. 77(C), pages 70-80.
    37. Ang, B.W. & Zhang, F.Q., 2000. "A survey of index decomposition analysis in energy and environmental studies," Energy, Elsevier, vol. 25(12), pages 1149-1176.

  9. Greening, Lorna A. & Davis, William B. & Schipper, Lee, 1998. "Decomposition of aggregate carbon intensity for the manufacturing sector: comparison of declining trends from 10 OECD countries for the period 1971-1991," Energy Economics, Elsevier, vol. 20(1), pages 43-65, February.

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    1. Sinha, Avik, 2017. "Inequality of renewable energy generation across OECD countries: A note," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 9-14.
    2. Hongwei Xiao & Zhongyu Ma & Peng Zhang & Ming Liu, 2019. "Study of the impact of energy consumption structure on carbon emission intensity in China from the perspective of spatial effects," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1365-1380, December.
    3. Fan, Ying & Liu, Lan-Cui & Wu, Gang & Tsai, Hsien-Tang & Wei, Yi-Ming, 2007. "Changes in carbon intensity in China: Empirical findings from 1980-2003," Ecological Economics, Elsevier, vol. 62(3-4), pages 683-691, May.
    4. Tianyi Zeng & Hong Jin & Xu Gang & Zihang Kang & Jiayi Luan, 2022. "County Economy, Population, Construction Land, and Carbon Intensity in a Shrinkage Scenario," Sustainability, MDPI, vol. 14(17), pages 1-16, August.
    5. Meng, Ming & Niu, Dongxiao, 2012. "Three-dimensional decomposition models for carbon productivity," Energy, Elsevier, vol. 46(1), pages 179-187.
    6. Emilie Alberola & Julien Chevallier & Benoît Chèze, 2008. "The EU Emissions Trading Scheme : Disentangling the Effects of Industrial Production and CO2 Emissions on Carbon Prices," Working Papers hal-04140795, HAL.
    7. Socolow, Robert & Pacala, Stephen W. & Tol, Richard S.J., 2006. "Understanding Long-Term Energy Use and Carbon Dioxide Emissions in the USA," Climate Change Modelling and Policy Working Papers 12043, Fondazione Eni Enrico Mattei (FEEM).
    8. Diakoulaki, D. & Mandaraka, M., 2007. "Decomposition analysis for assessing the progress in decoupling industrial growth from CO2 emissions in the EU manufacturing sector," Energy Economics, Elsevier, vol. 29(4), pages 636-664, July.
    9. Ang, B.W. & Liu, F.L., 2001. "A new energy decomposition method: perfect in decomposition and consistent in aggregation," Energy, Elsevier, vol. 26(6), pages 537-548.
    10. Greening, Lorna A. & Ting, Mike & Davis, William B., 1999. "Decomposition of aggregate carbon intensity for freight: trends from 10 OECD countries for the period 1971-1993," Energy Economics, Elsevier, vol. 21(4), pages 331-361, August.
    11. Hwang, In Chang, 2013. "Stochastic Kaya model and its applications," MPRA Paper 55099, University Library of Munich, Germany.
    12. Kim, Kyunam & Kim, Yeonbae, 2012. "International comparison of industrial CO2 emission trends and the energy efficiency paradox utilizing production-based decomposition," Energy Economics, Elsevier, vol. 34(5), pages 1724-1741.
    13. Liaskas, K. & Mavrotas, G. & Mandaraka, M. & Diakoulaki, D., 2000. "Decomposition of industrial CO2 emissions:: The case of European Union," Energy Economics, Elsevier, vol. 22(4), pages 383-394, August.
    14. Muhammad Shahbaz & Avik Sinha & Andreas Kontoleon, 2022. "Decomposing scale and technique effects of economic growth on energy consumption: Fresh evidence from developing economies," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 1848-1869, April.
    15. Yetkiner, Hakan & Berk, Istemi, 2023. "Energy intensity and directed fiscal policy," Economic Systems, Elsevier, vol. 47(2).
    16. Schipper, Lee & Ting, Michael & Khrushch, Marta & Golove, William, 1997. "The evolution of carbon dioxide emissions from energy use in industrialized countries: an end-use analysis," Energy Policy, Elsevier, vol. 25(7-9), pages 651-672.
    17. Greening, Lorna A., 2004. "Effects of human behavior on aggregate carbon intensity of personal transportation: comparison of 10 OECD countries for the period 1970-1993," Energy Economics, Elsevier, vol. 26(1), pages 1-30, January.
    18. Voigt, Sebastian & De Cian, Enrica & Schymura, Michael & Verdolini, Elena, 2014. "Energy intensity developments in 40 major economies: Structural change or technology improvement?," Energy Economics, Elsevier, vol. 41(C), pages 47-62.
    19. Kempa, Karol & Haas, Christian, 2016. "Directed Technical Change and Energy Intensity Dynamics: Structural Change vs. Energy Efficiency," VfS Annual Conference 2016 (Augsburg): Demographic Change 145722, Verein für Socialpolitik / German Economic Association.
    20. Schymura, Michael & Voigt, Sebastian, 2014. "What drives changes in carbon emissions? An index decomposition approach for 40 countries," ZEW Discussion Papers 14-038, ZEW - Leibniz Centre for European Economic Research.
    21. Lin, Boqiang & Wang, Xiaolei, 2015. "Carbon emissions from energy intensive industry in China: Evidence from the iron & steel industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 746-754.
    22. de Nooij, Michiel & van der Kruk, Rene & van Soest, Daan P., 2003. "International comparisons of domestic energy consumption," Energy Economics, Elsevier, vol. 25(4), pages 359-373, July.
    23. Lin, Boqiang & Moubarak, Mohamed, 2014. "Mitigation potential of carbon dioxide emissions in the Chinese textile industry," Applied Energy, Elsevier, vol. 113(C), pages 781-787.
    24. Christian Haas & Karol Kempa, 2016. "Directed Technical Change and Energy Intensity Dynamics: Structural Change vs. Energy Efficiency," MAGKS Papers on Economics 201610, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    25. Zhao, Min & Tan, Lirong & Zhang, Weiguo & Ji, Minhe & Liu, Yuan & Yu, Lizhong, 2010. "Decomposing the influencing factors of industrial carbon emissions in Shanghai using the LMDI method," Energy, Elsevier, vol. 35(6), pages 2505-2510.
    26. Du, Kerui & Lu, Huang & Yu, Kun, 2014. "Sources of the potential CO2 emission reduction in China: A nonparametric metafrontier approach," Applied Energy, Elsevier, vol. 115(C), pages 491-501.
    27. Wei Li & Guomin Li & Rongxia Zhang & Wen Sun & Wen Wu & Baihui Jin & Pengfei Cui, 2017. "Carbon Reduction Potential of Resource-Dependent Regions Based on Simulated Annealing Programming Algorithm," Sustainability, MDPI, vol. 9(7), pages 1-17, July.
    28. Feng Dong & Xinqi Gao & Jingyun Li & Yuanqing Zhang & Yajie Liu, 2018. "Drivers of China’s Industrial Carbon Emissions: Evidence from Joint PDA and LMDI Approaches," IJERPH, MDPI, vol. 15(12), pages 1-28, December.
    29. Thomakos, Dimitrios D. & Alexopoulos, Thomas A., 2016. "Carbon intensity as a proxy for environmental performance and the informational content of the EPI," Energy Policy, Elsevier, vol. 94(C), pages 179-190.
    30. Xu, X.Y. & Ang, B.W., 2013. "Index decomposition analysis applied to CO2 emission studies," Ecological Economics, Elsevier, vol. 93(C), pages 313-329.
    31. Robaina Alves, Margarita & Moutinho, Victor, 2013. "Decomposition analysis and Innovative Accounting Approach for energy-related CO2 (carbon dioxide) emissions intensity over 1996–2009 in Portugal," Energy, Elsevier, vol. 57(C), pages 775-787.
    32. Lee, Kihoon & Oh, Wankeun, 2006. "Analysis of CO2 emissions in APEC countries: A time-series and a cross-sectional decomposition using the log mean Divisia method," Energy Policy, Elsevier, vol. 34(17), pages 2779-2787, November.
    33. Lin, Boqiang & Long, Houyin, 2016. "Emissions reduction in China׳s chemical industry – Based on LMDI," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1348-1355.
    34. Greening, Lorna A. & Ting, Michael & Krackler, Thomas J., 2001. "Effects of changes in residential end-uses and behavior on aggregate carbon intensity: comparison of 10 OECD countries for the period 1970 through 1993," Energy Economics, Elsevier, vol. 23(2), pages 153-178, March.
    35. Jung, Seok & An, Kyoung-Jin & Dodbiba, Gjergj & Fujita, Toyohisa, 2012. "Regional energy-related carbon emission characteristics and potential mitigation in eco-industrial parks in South Korea: Logarithmic mean Divisia index analysis based on the Kaya identity," Energy, Elsevier, vol. 46(1), pages 231-241.
    36. Shahbaz, Muhammad & Sinha, Avik & Kontoleon, Andreas, 2020. "Decomposing Scale and Technique Effects of Economic Growth on Energy Consumption: Fresh Evidence in Developing Economies," MPRA Paper 102111, University Library of Munich, Germany, revised 27 Jul 2020.
    37. Yi, Hongtao, 2015. "Clean-energy policies and electricity sector carbon emissions in the U.S. states," Utilities Policy, Elsevier, vol. 34(C), pages 19-29.
    38. Soytas, Ugur & Sari, Ramazan & Ewing, Bradley T., 2007. "Energy consumption, income, and carbon emissions in the United States," Ecological Economics, Elsevier, vol. 62(3-4), pages 482-489, May.
    39. Ang, B. W., 1999. "Is the energy intensity a less useful indicator than the carbon factor in the study of climate change?," Energy Policy, Elsevier, vol. 27(15), pages 943-946, December.
    40. Margarida R. Alves & Victor Moutinho, 2013. "Decomposition analysis for energy-related CO2 emissions intensity over 1996-2009 in Portuguese Industrial Sectors," CEFAGE-UE Working Papers 2013_10, University of Evora, CEFAGE-UE (Portugal).
    41. Hammond, G.P. & Norman, J.B., 2012. "Decomposition analysis of energy-related carbon emissions from UK manufacturing," Energy, Elsevier, vol. 41(1), pages 220-227.
    42. Burnett, J. Wesley & Bergstrom, John C. & Wetzstein, Michael E., 2013. "Carbon dioxide emissions and economic growth in the U.S," Journal of Policy Modeling, Elsevier, vol. 35(6), pages 1014-1028.
    43. Victor Moutinho & José Manuel Xavier & Pedro Miguel Silva, 2014. "Examining the energy-related CO2 emissions using Decomposition Approach in EU-15 before and after the Kyoto Protocol," CEFAGE-UE Working Papers 2014_17, University of Evora, CEFAGE-UE (Portugal).
    44. Lenzen, Manfred, 2006. "Decomposition analysis and the mean-rate-of-change index," Applied Energy, Elsevier, vol. 83(3), pages 185-198, March.
    45. Fan, Jing-Li & Liao, Hua & Liang, Qiao-Mei & Tatano, Hirokazu & Liu, Chun-Feng & Wei, Yi-Ming, 2013. "Residential carbon emission evolutions in urban–rural divided China: An end-use and behavior analysis," Applied Energy, Elsevier, vol. 101(C), pages 323-332.
    46. Lin, Boqiang & Long, Houyin, 2014. "How to promote energy conservation in China’s chemical industry," Energy Policy, Elsevier, vol. 73(C), pages 93-102.
    47. Robaina-Alves, Margarita & Moutinho, Victor, 2014. "Decomposition of energy-related GHG emissions in agriculture over 1995–2008 for European countries," Applied Energy, Elsevier, vol. 114(C), pages 949-957.
    48. Liu, Xiao & Hang, Ye & Wang, Qunwei & Chiu, Ching-Ren & Zhou, Dequn, 2022. "The role of energy consumption in global carbon intensity change: A meta-frontier-based production-theoretical decomposition analysis," Energy Economics, Elsevier, vol. 109(C).
    49. Dhakal, Shobhakar, 2009. "Urban energy use and carbon emissions from cities in China and policy implications," Energy Policy, Elsevier, vol. 37(11), pages 4208-4219, November.
    50. Hongze Li & FengYun Li & Xinhua Yu, 2018. "China’s Contributions to Global Green Energy and Low-Carbon Development: Empirical Evidence under the Belt and Road Framework," Energies, MDPI, vol. 11(6), pages 1-32, June.
    51. Hwang, In Chang, 2013. "Anthropogenic drivers of carbon emissions: scale and counteracting effects," MPRA Paper 52224, University Library of Munich, Germany.
    52. Liu Chen & Xin Li & Sheng Xue & Lingfei Qu & Minxi Wang, 2019. "Carbon intensity and emission reduction potential in China: spatial measuring method," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-12, December.
    53. Ang, B.W. & Zhang, F.Q., 2000. "A survey of index decomposition analysis in energy and environmental studies," Energy, Elsevier, vol. 25(12), pages 1149-1176.

  10. Greening, Lorna A & Sanstad, Alan H & McMahon, James E, 1997. "Effects of Appliance Standards on Product Price and Attributes: An Hedonic Pricing Model," Journal of Regulatory Economics, Springer, vol. 11(2), pages 181-194, March.

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    2. Ward, David O. & Clark, Christopher D. & Jensen, Kimberly L. & Yen, Steven T. & Russell, Clifford S., 2011. "Factors influencing willingness-to-pay for the ENERGY STAR® label," Energy Policy, Elsevier, vol. 39(3), pages 1450-1458, March.
    3. Meyers, S & McMahon, J.E & McNeil, M & Liu, X, 2003. "Impacts of US federal energy efficiency standards for residential appliances," Energy, Elsevier, vol. 28(8), pages 755-767.
    4. Kelly, Geoff, 2012. "Sustainability at home: Policy measures for energy-efficient appliances," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6851-6860.
    5. Jaffe, Adam B. & Newell, Richard G. & Stavins, Robert N., 2001. "Technological Change and the Environment," Discussion Papers 10566, Resources for the Future.
    6. Brucal, Arlan & Roberts, Michael, 2019. "Do energy efficiency standards hurt consumers?: evidence from household appliance sales," LSE Research Online Documents on Economics 100772, London School of Economics and Political Science, LSE Library.
    7. Adam B. Jaffe & Richard G. Newell & Robert N. Stavins, 2004. "Technology Policy for Energy and the Environment," NBER Chapters, in: Innovation Policy and the Economy, Volume 4, pages 35-68, National Bureau of Economic Research, Inc.
    8. Woojae Kim & Sungmin Ko & Myoungjin Oh & Ie-jung Choi & Jungwoo Shin, 2019. "Is an Incentive Policy for Energy Efficient Products Effective for Air Purifiers? The Case of South Korea," Energies, MDPI, vol. 12(9), pages 1-14, May.
    9. Brown, Marilyn A., 2001. "Market failures and barriers as a basis for clean energy policies," Energy Policy, Elsevier, vol. 29(14), pages 1197-1207, November.
    10. Cristina Cattaneo, 2018. "Internal and External Barriers to Energy Efficiency: Made-to-Measure Policy Interventions," Working Papers 2018.08, Fondazione Eni Enrico Mattei.
    11. Yao, Shiyue & Yu, Xueying & Yan, Sen & Wen, Shiyan, 2021. "Heterogeneous emission trading schemes and green innovation," Energy Policy, Elsevier, vol. 155(C).
    12. Gumerman, Etan & Koomey, Jonathan G. & Brown, Marilyn A., 2001. "Strategies for cost-effective carbon reductions: a sensitivity analysis of alternative scenarios," Energy Policy, Elsevier, vol. 29(14), pages 1313-1323, November.
    13. Kimitaka Nishitani & Munehiko Itoh, 2014. "Product Innovation in Response to Environmental Standards and Competitive Advantage: A Hedonic Analysis of Refrigerators in the Japanese Retail Market," Discussion Paper Series DP2014-30, Research Institute for Economics & Business Administration, Kobe University.
    14. Vine, Edward & du Pont, Peter & Waide, Paul, 2001. "Evaluating the impact of appliance efficiency labeling programs and standards: process, impact, and market transformation evaluations," Energy, Elsevier, vol. 26(11), pages 1041-1059.
    15. Daubanes, Julien, 2009. "Changement climatique, instruments économiques et propositions pour un accord post-Kyoto: une synthèse," TSE Working Papers 09-006, Toulouse School of Economics (TSE).
    16. Greening, Lorna A., 2010. "Demand response resources: Who is responsible for implementation in a deregulated market?," Energy, Elsevier, vol. 35(4), pages 1518-1525.
    17. Adam Jaffe & Richard Newell & Robert Stavins, 2002. "Environmental Policy and Technological Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 22(1), pages 41-70, June.
    18. Toshihiro Okubo, 2013. "Energy-saving regulations and commodity prices," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 15(1), pages 93-132, January.
    19. Jaffe, Adam B. & Newell, Richard G. & Stavins, Robert N., 2003. "Chapter 11 Technological change and the environment," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 1, chapter 11, pages 461-516, Elsevier.
    20. Isamu Matsukawa, 2005. "The Benefits of Information on the Efficient Usage of Consumer Durables," Others 0501005, University Library of Munich, Germany.
    21. Tsvetan Tsvetanov & Kathleen Segerson, 2014. "The Welfare Effects of Energy Efficiency Standards When Choice Sets Matter," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 1(1), pages 233-271.
    22. Dale, Larry & Antinori, Camille & McNeil, Michael & McMahon, James E. & Sydny Fujita, K., 2009. "Retrospective evaluation of appliance price trends," Energy Policy, Elsevier, vol. 37(2), pages 597-605, February.

  11. Greening, Lorna A. & Schipper, Lee & Davis, Robert E. & Bell, Stuart R., 1997. "Prediction of household levels of greenhouse-gas emissions from personal automotive transportation," Energy, Elsevier, vol. 22(5), pages 449-460.

    Cited by:

    1. Alexia Prskawetz & Jiang Leiwen & Brian C. O Neill, 2004. "Demographic composition and projections of car use in Austria," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 2(1), pages 175-202.
    2. Zuopeng Xiao & James H. Lenzer & Yanwei Chai, 2017. "Examining The Uneven Distribution Of Household Travel Carbon Emissions Within And Across Neighborhoods: The Case Of Beijing," Journal of Regional Science, Wiley Blackwell, vol. 57(3), pages 487-506, June.
    3. Brand, Christian & Boardman, Brenda, 2008. "Taming of the few--The unequal distribution of greenhouse gas emissions from personal travel in the UK," Energy Policy, Elsevier, vol. 36(1), pages 224-238, January.
    4. Brand, Christian & Preston, John M., 2010. "'60-20 emission'--The unequal distribution of greenhouse gas emissions from personal, non-business travel in the UK," Transport Policy, Elsevier, vol. 17(1), pages 9-19, January.
    5. Riccardo Borgoni & Ulf-Christian Ewert & Alexia Fürnkranz-Prskawetz, 2002. "How important are household demographic characteristics to explain private car use patterns? A multilevel approach to Austrian data," MPIDR Working Papers WP-2002-006, Max Planck Institute for Demographic Research, Rostock, Germany.

  12. Greening, Lorna A. & Davis, William B. & Schipper, Lee & Khrushch, Marta, 1997. "Comparison of six decomposition methods: application to aggregate energy intensity for manufacturing in 10 OECD countries," Energy Economics, Elsevier, vol. 19(3), pages 375-390, July.

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    1. Åsa Löfgren & Adrian Muller, 2010. "Swedish CO 2 Emissions 1993–2006: An Application of Decomposition Analysis and Some Methodological Insights," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 47(2), pages 221-239, October.
    2. Horowitz, Marvin J. & Bertoldi, Paolo, 2015. "A harmonized calculation model for transforming EU bottom-up energy efficiency indicators into empirical estimates of policy impacts," Energy Economics, Elsevier, vol. 51(C), pages 135-148.
    3. Mulder, Peter & de Groot, Henri L.F., 2012. "Structural change and convergence of energy intensity across OECD countries, 1970–2005," Energy Economics, Elsevier, vol. 34(6), pages 1910-1921.
    4. Löschel Andreas & Oberndorfer Ulrich, 2009. "Oil and Unemployment in Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 229(2-3), pages 146-162, April.
    5. Costa-Campi, María Teresa & García-Quevedo, José & Segarra, Agustí, 2015. "Energy efficiency determinants: An empirical analysis of Spanish innovative firms," Energy Policy, Elsevier, vol. 83(C), pages 229-239.
    6. Juan Antonio Duro Moreno & Emilio Padilla Rosa, "undated". "Análisis De Los Factores Determinantes De Las Desigualdades Internacionales En Las Emisiones De Co2 Per Cápita Aplicando El Enfoque Distributivo: Una Metodología De Descomposición Por Factores De Kaya," Working Papers 25-05 Classification-JEL , Instituto de Estudios Fiscales.
    7. Jimenez Mori, Raul Alberto & Mercado Díaz, Jorge Enrique, 2013. "Energy Intensity: A Decomposition and Counterfactual Exercise for Latin American Countries," IDB Publications (Working Papers) 4594, Inter-American Development Bank.
    8. Gilbert E. Metcalf, 2006. "Energy Conservation in the United States: Understanding its Role in Climate Policy," Discussion Papers Series, Department of Economics, Tufts University 0609, Department of Economics, Tufts University.
    9. Rajbhandari, Ashish & Zhang, Fan, 2018. "Does energy efficiency promote economic growth? Evidence from a multicountry and multisectoral panel dataset," Energy Economics, Elsevier, vol. 69(C), pages 128-139.
    10. Socolow, Robert & Pacala, Stephen W. & Tol, Richard S.J., 2006. "Understanding Long-Term Energy Use and Carbon Dioxide Emissions in the USA," Climate Change Modelling and Policy Working Papers 12043, Fondazione Eni Enrico Mattei (FEEM).
    11. Karimu, Amin & Brännlund, Runar & Lundgren, Tommy & Söderholm, Patrik, 2016. "Energy Intensity and Convergence in Swedish Industry: A Combined Econometric and Decomposition Analysis," CERE Working Papers 2016:8, CERE - the Center for Environmental and Resource Economics.
    12. Mairet, Nicolas & Decellas, Fabrice, 2009. "Determinants of energy demand in the French service sector: A decomposition analysis," Energy Policy, Elsevier, vol. 37(7), pages 2734-2744, July.
    13. Miketa, Asami & Mulder, Peter, 2005. "Energy productivity across developed and developing countries in 10 manufacturing sectors: Patterns of growth and convergence," Energy Economics, Elsevier, vol. 27(3), pages 429-453, May.
    14. Herring, Horace, 1999. "Does energy efficiency save energy? The debate and its consequences," Applied Energy, Elsevier, vol. 63(3), pages 209-226, July.
    15. Yanrui Wu, 2011. "Energy Intensity and its Determinants in China's Regional Economies," Economics Discussion / Working Papers 11-25, The University of Western Australia, Department of Economics.
    16. Diakoulaki, D. & Mandaraka, M., 2007. "Decomposition analysis for assessing the progress in decoupling industrial growth from CO2 emissions in the EU manufacturing sector," Energy Economics, Elsevier, vol. 29(4), pages 636-664, July.
    17. Acar, Pinar & Berk, Istemi, 2022. "Power infrastructure quality and industrial performance: A panel data analysis on OECD manufacturing sectors," Energy, Elsevier, vol. 239(PC).
    18. Greening, Lorna A. & Ting, Mike & Davis, William B., 1999. "Decomposition of aggregate carbon intensity for freight: trends from 10 OECD countries for the period 1971-1993," Energy Economics, Elsevier, vol. 21(4), pages 331-361, August.
    19. Nag, Barnali & Parikh, Jyoti K., 2005. "Carbon emission coefficient of power consumption in India: baseline determination from the demand side," Energy Policy, Elsevier, vol. 33(6), pages 777-786, April.
    20. Ang, B.W. & Liu, Na, 2007. "Energy decomposition analysis: IEA model versus other methods," Energy Policy, Elsevier, vol. 35(3), pages 1426-1432, March.
    21. Okajima, Shigeharu & Okajima, Hiroko, 2013. "Analysis of energy intensity in Japan," Energy Policy, Elsevier, vol. 61(C), pages 574-586.
    22. Carlino, Laurent & Coppens, François & González, Javier & Ortega, Manuel & Pérez-Duarte, Sébastien & Rubbrecht, Ilse & Vennix, Saskia, 2017. "Decomposition techniques for financial ratios of European non-financial listed groups," Statistics Paper Series 21, European Central Bank.
    23. Liu, Na & Ang, B.W., 2007. "Factors shaping aggregate energy intensity trend for industry: Energy intensity versus product mix," Energy Economics, Elsevier, vol. 29(4), pages 609-635, July.
    24. Hang, Ye & Sun, Jiasen & Wang, Qunwei & Zhao, Zengyao & Wang, Yizhong, 2015. "Measuring energy inefficiency with undesirable outputs and technology heterogeneity in Chinese cities," Economic Modelling, Elsevier, vol. 49(C), pages 46-52.
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    27. Costa, M. Teresa (Maria Teresa), 1951- & García, José, 1963- & Segarra Blasco, Agustí, 1958-, 2015. "Energy efficiency determinants: An empirical analysis of Spanish innovative firms," Working Papers 2072/248362, Universitat Rovira i Virgili, Department of Economics.
    28. Ren, Shenggang & Fu, Xiang & Chen, XiaoHong, 2012. "Regional variation of energy-related industrial CO2 emissions mitigation in China," China Economic Review, Elsevier, vol. 23(4), pages 1134-1145.
    29. Abu Bakar, Nur Najihah & Hassan, Mohammad Yusri & Abdullah, Hayati & Rahman, Hasimah Abdul & Abdullah, Md Pauzi & Hussin, Faridah & Bandi, Masilah, 2015. "Energy efficiency index as an indicator for measuring building energy performance: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 1-11.
    30. Ren, Shenggang & Hu, Zhen, 2012. "Effects of decoupling of carbon dioxide emission by Chinese nonferrous metals industry," Energy Policy, Elsevier, vol. 43(C), pages 407-414.
    31. Shorrock, L. D., 2000. "Identifying the individual components of United Kingdom domestic sector carbon emission changes between 1990 and 2000," Energy Policy, Elsevier, vol. 28(3), pages 193-200, March.
    32. Liao, Hua & Fan, Ying & Wei, Yi-Ming, 2007. "What induced China's energy intensity to fluctuate: 1997-2006?," Energy Policy, Elsevier, vol. 35(9), pages 4640-4649, September.
    33. Kepplinger, D. & Templ, M. & Upadhyaya, S., 2013. "Analysis of energy intensity in manufacturing industry using mixed-effects models," Energy, Elsevier, vol. 59(C), pages 754-763.
    34. Shahiduzzaman, Md. & Alam, Khorshed, 2013. "Changes in energy efficiency in Australia: A decomposition of aggregate energy intensity using logarithmic mean Divisia approach," Energy Policy, Elsevier, vol. 56(C), pages 341-351.
    35. Kakali Mukhopadhyay, 2008. "Air pollution and income distribution in India," Asia-Pacific Development Journal, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), vol. 15(1), pages 35-64, June.
    36. Peter Mulder & Henri de Groot, 2003. "International comparison of sectoral energy- and labour-productivity performance; stylised facts and decomposition of trends," CPB Discussion Paper 22, CPB Netherlands Bureau for Economic Policy Analysis.
    37. Chen, Chung-Chiang, 2011. "An analytical framework for energy policy evaluation," Renewable Energy, Elsevier, vol. 36(10), pages 2694-2702.
    38. Nag, Barnali & Parikh, Jyoti, 2000. "Indicators of carbon emission intensity from commercial energy use in India," Energy Economics, Elsevier, vol. 22(4), pages 441-461, August.
    39. Ma, Hengyun & Oxley, Les & Gibson, John, 2010. "China's energy economy: A survey of the literature," Economic Systems, Elsevier, vol. 34(2), pages 105-132, June.
    40. Cahill, Caiman J. & Ó Gallachóir, Brian P., 2012. "Combining physical and economic output data to analyse energy and CO2 emissions trends in industry," Energy Policy, Elsevier, vol. 49(C), pages 422-429.
    41. Mei Liao & Chao Ma & Dongpu Yao & Huizheng Liu, 2013. "Decomposition of embodied exergy flows in manufactured products and implications for carbon tariff policies," Asia Europe Journal, Springer, vol. 11(3), pages 265-283, September.
    42. Schipper, Lee & Murtishaw, Scott & Khrushch, Marta & Ting, Michael & Karbuz, Sohbet & Unander, Fridtjof, 2001. "Carbon emissions from manufacturing energy use in 13 IEA countries: long-term trends through 1995," Energy Policy, Elsevier, vol. 29(9), pages 667-688, July.
    43. Unander, Fridtjof, 2009. "Decomposition of manufacturing energy-use in IEA countries: How do recent developments compare with historical long-term trends?," Applied Energy, Elsevier, vol. 84(7-8), pages 771-780, July.
    44. Li, Ke & Lin, Boqiang, 2017. "Economic growth model, structural transformation, and green productivity in China," Applied Energy, Elsevier, vol. 187(C), pages 489-500.
    45. Lin, Boqiang & Du, Kerui, 2014. "Decomposing energy intensity change: A combination of index decomposition analysis and production-theoretical decomposition analysis," Applied Energy, Elsevier, vol. 129(C), pages 158-165.
    46. Lee, Kihoon & Oh, Wankeun, 2006. "Analysis of CO2 emissions in APEC countries: A time-series and a cross-sectional decomposition using the log mean Divisia method," Energy Policy, Elsevier, vol. 34(17), pages 2779-2787, November.
    47. Fang, Chin-Yi & Hu, Jin-Li & Lou, Tze-Kai, 2013. "Environment-adjusted total-factor energy efficiency of Taiwan's service sectors," Energy Policy, Elsevier, vol. 63(C), pages 1160-1168.
    48. Greening, Lorna A. & Ting, Michael & Krackler, Thomas J., 2001. "Effects of changes in residential end-uses and behavior on aggregate carbon intensity: comparison of 10 OECD countries for the period 1970 through 1993," Energy Economics, Elsevier, vol. 23(2), pages 153-178, March.
    49. Hatzigeorgiou, Emmanouil & Polatidis, Heracles & Haralambopoulos, Dias, 2008. "CO2 emissions in Greece for 1990–2002: A decomposition analysis and comparison of results using the Arithmetic Mean Divisia Index and Logarithmic Mean Divisia Index techniques," Energy, Elsevier, vol. 33(3), pages 492-499.
    50. Duro, Juan Antonio & Alcántara, Vicent & Padilla, Emilio, 2010. "International inequality in energy intensity levels and the role of production composition and energy efficiency: An analysis of OECD countries," Ecological Economics, Elsevier, vol. 69(12), pages 2468-2474, October.
    51. Wu, Li-Ming & Chen, Bai-Sheng & Bor, Yun-Chang & Wu, Yin-Chin, 2007. "Structure model of energy efficiency indicators and applications," Energy Policy, Elsevier, vol. 35(7), pages 3768-3777, July.
    52. Yang, Shenglang & Shi, Xunpeng, 2018. "Intangible capital and sectoral energy intensity: Evidence from 40 economies between 1995 and 2007," Energy Policy, Elsevier, vol. 122(C), pages 118-128.
    53. Saygin, D. & Worrell, E. & Tam, C. & Trudeau, N. & Gielen, D.J. & Weiss, M. & Patel, M.K., 2012. "Long-term energy efficiency analysis requires solid energy statistics: The case of the German basic chemical industry," Energy, Elsevier, vol. 44(1), pages 1094-1106.
    54. Sinton, Jonathan E & Levine, Mark D & Qingyi, Wang, 1998. "Energy efficiency in China: accomplishments and challenges," Energy Policy, Elsevier, vol. 26(11), pages 813-829, September.
    55. Murtishaw, Scott & Schipper, Lee & Unander, Fridtjof & Karbuz, Sohbet & Khrushch, Marta, 2001. "Lost carbon emissions: the role of non-manufacturing "other industries" and refining in industrial energy use and carbon emissions in IEA countries," Energy Policy, Elsevier, vol. 29(2), pages 83-102, January.
    56. Nanduri, Mallika & Nyboer, John & Jaccard, Mark, 2002. "Aggregating physical intensity indicators: results of applying the composite indicator approach to the Canadian industrial sector," Energy Policy, Elsevier, vol. 30(2), pages 151-163, January.
    57. Kulshreshtha, Mudit & Parikh, Jyoti K., 2001. "A study of productivity in the Indian coal sector," Energy Policy, Elsevier, vol. 29(9), pages 701-713, July.
    58. Wang, En-Ze & Lee, Chien-Chiang & Li, Yaya, 2022. "Assessing the impact of industrial robots on manufacturing energy intensity in 38 countries," Energy Economics, Elsevier, vol. 105(C).
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    Cited by:

    1. Alexia Prskawetz & Jiang Leiwen & Brian C. O Neill, 2004. "Demographic composition and projections of car use in Austria," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 2(1), pages 175-202.
    2. Ana Escoto Castillo & Landy Sánchez Peña, 2017. "Diffusion of Electricity Consumption Practices in Mexico," Social Sciences, MDPI, vol. 6(4), pages 1-24, November.
    3. Kayser, Hilke A., 2000. "Gasoline demand and car choice: estimating gasoline demand using household information," Energy Economics, Elsevier, vol. 22(3), pages 331-348, June.
    4. Riccardo Borgoni & Ulf-Christian Ewert & Alexia Fürnkranz-Prskawetz, 2002. "How important are household demographic characteristics to explain private car use patterns? A multilevel approach to Austrian data," MPIDR Working Papers WP-2002-006, Max Planck Institute for Demographic Research, Rostock, Germany.
    5. Stevens, Paul, 1997. "Increasing global dependence on Gulf oil: `This year, next year, sometime, never?'," Energy Policy, Elsevier, vol. 25(2), pages 135-142, February.
    6. Lynn Price & Laurie Michaelis & Ernst Worrell & Marta Khrushch, 1998. "Sectoral Trends and Driving Forces of Global Energy Use and Greenhouse Gas Emissions," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 3(2), pages 263-319, December.

Chapters

  1. Lorna A. Greening & Chris Bataille, 2009. "Bottom-up Models of Energy: Across the Spectrum," Chapters, in: Joanne Evans & Lester C. Hunt (ed.), International Handbook on the Economics of Energy, chapter 11, Edward Elgar Publishing.

    Cited by:

    1. Prina, Matteo Giacomo & Manzolini, Giampaolo & Moser, David & Nastasi, Benedetto & Sparber, Wolfram, 2020. "Classification and challenges of bottom-up energy system models - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 129(C).

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